Zihan Yan

Collage of Computer Science

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Gender Differences of Cognitive Loads in Augmented Reality-based Warehouse

Zihan Yan, Yifei Shan, Kailin Yin, Yiyang Li, Xiangdong Li

gender

Abstract

The rapid emergence of augmented reality (AR) has brought considerable advantages to warehouse workers. However, due to inherent biological and cognitive differences, the male and female workers perceive cognitive loads differently. Understanding the differences is essential to improve the workers’ productivity and well-being. Therefore, we developed the AR headset that helped participants facilitate parcel scanning and evaluated the gender differences in the context of long-lasting repetitive parcel scanning. The results show that the female workers had significantly lower operational efficiency, higher visual attention, and higher memory loads than the male, but they quickly gained advantages in these aspects.

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